AI-Powered Crop Recommendation System

Overview

AI-Powered Crop Recommendation System is a smart agricultural platform that recommends the most suitable crop based on soil nutrients and environmental conditions. The system helps farmers make data-driven decisions to improve productivity and crop selection.

Key Features

Crop recommendation based on soil and weather parameters
Machine Learning and Deep Learning based predictions
Risk assessment for crop cultivation
Estimated annual income prediction
Responsive and user-friendly interface

Technology Stack

Frontend: React.js

Backend: FastAPI, Python

Machine Learning: PyTorch, Scikit-learn

Working

Users enter soil nutrients (N, P, K) and environmental factors such as temperature, humidity, pH, and rainfall. The trained model analyzes the inputs and recommends the most suitable crop along with risk analysis and estimated profit.

Future Enhancements

Real-time weather API integration
Fertilizer recommendation system
Disease prediction for crops
Multi-language support
Mobile application development

Conclusion

The project combines Artificial Intelligence and modern web technologies to assist farmers in selecting suitable crops and improving agricultural decision-making.